- Smart Grid Energy Management
- Context-Aware Activity Recognition Systems
- IoT-based Smart Home Systems
- Microgrid Control and Optimization
- Smart Grid Security and Resilience
- Energy Harvesting in Wireless Networks
- Time Series Analysis and Forecasting
- Building Energy and Comfort Optimization
- solar cell performance optimization
- Rock Mechanics and Modeling
- Green IT and Sustainability
- Photovoltaic System Optimization Techniques
- Dementia and Cognitive Impairment Research
- Drilling and Well Engineering
- Network Security and Intrusion Detection
- RFID technology advancements
- IPv6, Mobility, Handover, Networks, Security
- Neurobiology of Language and Bilingualism
- Energy Efficiency and Management
- Tunneling and Rock Mechanics
- Data Management and Algorithms
- High-Velocity Impact and Material Behavior
- Transportation Safety and Impact Analysis
- Interactive and Immersive Displays
- Innovations in Concrete and Construction Materials
University of Toronto
2020-2023
National University of Malaysia
2008-2022
Laboratoire d'Informatique de Paris-Nord
2022
Queen's University
2021
Carleton University
2012-2019
Chittagong University of Engineering & Technology
2008-2014
Memorial University of Newfoundland
2007-2013
This paper proposes an algorithm, called sequence prediction via enhanced episode discovery (SPEED), to predict inhabitant activity in smart homes. SPEED is a variant of the algorithm. It works with episodes home events that have been extracted based on -off states appliances. An set sequential user activities periodically occur The are processed and arranged finite-order Markov model. A method by partial matching (PPM) algorithm applied next from previous history. result shows achieves...
In this paper, we propose a unified deep learning model for monitoring elderly in execution of daily life activities such as eating, sleeping or taking medication. The proposed approach consists three stages which are activity recognition, anomaly detection and next prediction. Such system can provide useful information the elderly, caregivers medical teams to identify generate preventive corrective measures. literature, these discussed separately, however, our approach, make use each stage...
Abstract Objectives Automatic speech and language assessment methods (SLAMs) can help clinicians assess impairments associated with dementia in older adults. The basis of any automatic SLAMs is a machine learning (ML) classifier that trained on participants’ language. However, tasks, recording media, modalities impact the performance ML classifiers. Thus, this research has focused evaluating effects above-mentioned factors classifiers be used for assessment. Methodology Our methodology...
In this paper, an alternative way of releasing heat building is investigated in order to reduce energy demand built tropical environment. Underground soil considered as a source for extracting from through thermal conductivity pipes. Thermal pipes are be fixed on the inner faces walls and their lower part inserted ground where temperature than indoor temperature. The entire analyses were done numerically using ANSYS 11. Heat flow between two systems was studied performance examined. room...
Abstract A datacentre stores information and manages data access in fast reliable manner. Failure of operation is not an option can be catastrophic. Internet things (IoT) devices automate management tasks reduce human intervention error. IoT used to manage many routine such as monitoring physical infrastructure, updating software configuration, network traffic, automating alerting reports respective authorities. The cyber security the handled by technology intrusion detection methods. By...
Solar photovoltaics (PVs) have nonlinear voltage–current characteristics, with a distinct maximum power point (MPP) depending on factors such as solar irradiance and operating temperature. To extract from the PV array at any environmental condition, DC–DC converters are usually used MPP trackers. This paper presents performance analysis of coupled inductor single-ended primary inductance converter for tracking (MPPT) in system. A detailed model system has been designed developed...
Gravity dams are solid concrete structures that maintain their stability against design loads from the geometric shape, mass and strength of concrete. The purposes dam construction may include navigation, flood damage reduction, hydroelectric power generation, fish wildlife enhancement, water quality, supply, recreation. evaluation gravity for earthquake loading must be based on appropriate criteria reflect both desired level safety choice procedures. In Bangladesh, entire country is divided...
The experimental investigation described in this study was carried out to determine the physical and mechanical properties (elastic moduli, Poisson’s ratio, compressive tensile strengths, hardness plane strain fracture toughness) of slate quarried from Britannia Cove, Bonavista, Newfoundland, Canada. Microscopic observations were layers’ orientation thickness grain boundaries. All tests according American Society for Testing Materials (ASTM) International Rock Mechanics (ISRM) procedures....
Smart home research requires study of psychological characteristics user. People follow some specific patterns in their life style. Inhabitant activity classification plays a vital role to predict smart events. The paper proposed multiagent system track the user for task isolation. is composed cooperative agents which works by sharing local views individual agents. An algorithm derived based on opposite entity state extraction classification. clusters events isolating status appliance....
In this paper, we described the design and hardware implementation of an electronic voting machine. The main aim project is not to a power efficient perfect device but mother that can be adoptable any recent technologies. machine its usage as simple illiterate common people easily use it. A vote casting procedure also proposed where prescribed new called DEMO which testing mechanism test before at run time. system almost similar traditional system, only ballot box will replaced by device....
The smart grid opens the possibility for Demand Response (DR) programs. In order end-users to obtain maximal benefit from DR programs, low priority load should be shifted high energy price periods or operated at reduced power levels. To that end, this paper proposes a linear programming model which reschedules household appliances relatively lower minimize total cost in day. Since rescheduling of task creates inconvenience users, proposed considers as disutility and models it function delay....
The success of the smart grid mostly depends on wide-spread participation users. potential for profit and cost saving features grids are excellent motivating factors to involve users in implementation. In this survey paper, we first discuss strategies from user's perspective. Then, present a brief discussion methods algorithms which proposed save increase user through trading opportunities. significance limitations used discussed point view. Finally, paper focuses future challenges research...
A smart power grid transforms the traditional electric into a user centric, intelligent network. This paper addresses cost optimization problem in from users' perspective. home owner can install diverse energy generators and storage devices to reduce dependency on external sources. The widespread utilization of green sources creates uncertainty generation due their unpredictable nature. collaborate with neighbors participate trading. utility indirectly controls consumption system by...
ABSTRACT Dynamic crack propagation in non‐plane strain (or 3D) slate blocks under wedge impact loads was investigated numerically this part of the paper. A parabolic‐shaped trajectory taken into consideration to model for analyzing splitting layered rock. Major and minor axes parabola were determined from condition equal mode I stress intensity factors (SIFs) along front. Mode SIFs experimental breaking each increment growth a manner similar that mentioned These values compared with plane...
This paper addresses the residential energy cost optimization problem in smart grid. More precisely, it proposes an approximate model and evaluates its performance with exact model. Previously, we developed which considers trading between households microgrid. In proposed approach, all determine microgrid price quantity collaboration others. The complexity of was further increased when unfair distribution among addressed. final is a multi-objective non-convex Mixed Integer Non-Linear...
ABSTRACT The experimental and numerical investigations presented in this paper were carried out to determine the splitting forces crack propagation scenarios of naturally bedded layered slate rock. Splitting loads determined by impact regular‐sized blocks under plane strain test loading conditions, using a hydraulic actuator with wedge‐shaped indenter. mechanical properties required for analyses obtained from detailed testing. velocity dynamic indenting wedge was series gauge sensors....
The problem that often occurs in making organic fertilizers is the incomplete maturity level and inconsistent content results. This due to many factors ranging from suitability of temperature humidity materials, provision inappropriate microbial liquids, pH TDS which always changes during fermentation process. research aims develop a system able monitor humidity, volume material liquid fertilizer, methane gas carbon dioxide process real time through website platform automatic control...
This article addresses the residential energy cost optimization problem in smart grid. To date, most of previous research only consider a partial aspect problem. As result, they fail to analyze scenarios when interconnected components along with their properties have be considered simultaneously. The proposed model combines these models into single unified model. Therefore, it is able which are closer practical implementation. Furthermore, useful behavior population (e.g., buildings, cities,...